Triple

T12768964
Position Surface form Disambiguated ID Type / Status
Subject Jack & Bobby E305196 entity
Predicate creator P184 FINISHED
Object Steven A. Cohen E33964 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Steven A. Cohen | Statement: [Jack & Bobby, creator, Steven A. Cohen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven A. Cohen
Context triple: [Jack & Bobby, creator, Steven A. Cohen]
  • A. Steven Cohen
    Steven Cohen is a film editor known for his work on various feature films, including the drama "Rambling Rose."
  • B. Steve Cohen chosen
    Steve Cohen is an American billionaire hedge fund manager and philanthropist who owns the New York Mets Major League Baseball team.
  • C. Henry Kravis
    Henry Kravis is an American billionaire businessman and co-founder of the private equity firm Kohlberg Kravis Roberts & Co. (KKR), known as a pioneer of leveraged buyouts.
  • D. David E. Shaw
    David E. Shaw is an American computer scientist, hedge fund manager, and entrepreneur best known for founding the quantitative investment firm D. E. Shaw & Co.
  • E. Mario J. Gabelli
    Mario J. Gabelli is an American billionaire investor, mutual fund manager, and philanthropist known for founding the investment firm GAMCO Investors and for his major contributions to business education.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f750a08190abf6122baa579bc4 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.